// 保存所有的图形对象
let allEcharts = []

// 当屏幕尺寸改变时触发的事件
window.addEventListener('resize', () => {
  // 循环页面中所有的图形
  allEcharts.forEach(v => {
    // 让图形调整尺寸
    v.resize()
  })
})


new Vue({
  el: '#app',
  data: {
    index: 0,   // 当前选中的省份的下标
    // 热销
    hotSale: [
      {
        name: '北京',
        value: '25179',
        dir: 'u',   // u：上   d：下  
        children: [
          {
            name: '可爱多',
            value: '25179',
            dir: 'd'   // u：上   d：下 
          },
          {
            name: '小洋人',
            value: '25179',
            dir: 'u'   // u：上   d：下 
          }
        ]
      },
      {
        name: '河北',
        value: '3424',
        dir: 'd',   // u：上   d：下  
        children: [
          {
            name: '八嘉',
            value: '25179',
            dir: 'd'   // u：上   d：下 
          },
          {
            name: '娃哈哈',
            value: '32',
            dir: 'u'   // u：上   d：下 
          }
        ]
      }
    ]
  },
  // created:Vue 创建完之后调用
  // 用途：获取页面中初始数据
  created() {
    
  },
  // mounted:Vue 挂载到 DOM 树上之后调用
  // 用途：页面一打开就要执行的 DOM 操作的代码（Vue 挂载之后才能执行 DOM 操作）
  mounted() {
    // 启动定时器
    setInterval(() => {
      this.index++
      // 下标大于等于省份的数量置0
      if (this.index >= this.hotSale.length) {
        this.index = 0
      }
    }, 2000)
    
    // 柱状图
    ; (function () {
      const dom = document.getElementById('m2-e')
      // 创建 echarts 对象
      const o = echarts.init(dom)
      // 保存到全局数组中
      allEcharts.push(o)
      // 显示加载进度条
      o.showLoading()
      // 模块数据是 AJAX 获取
      setTimeout(() => {

        let itemStyle = {
          normal: {
            color: new echarts.graphic.LinearGradient(0, 0, 0, 1, [{
              offset: 0,
              color: '#01FFFD'
            }, {
              offset: 1,
              color: '#005FCE'
            }]),
          }
        }
        // 构造数据
        const option = {
          // 坐标系 
          grid: {
            show: true,
            borderColor: '#006975'
          },
          xAxis: {
            axisLabel: {
              color: '#4797FA'
            },
            axisLine: {
              lineStyle: {
                color: '#f00'
              }
            },
            data: ['上海', '北京', '上海', '', '......', '', '上海', '北京', '上海']
          },
          yAxis: {
            axisLabel: {
              color: '#4797FA'
            },
            splitLine: {
              lineStyle: {
                color: '#006975'
              }
            }
          },
          // 柱子
          series: {
            type: 'bar',
            barWidth: '30%',
            data: [{
              value: 100,
              itemStyle
            }, {
              value: 100,
              itemStyle
            }, {
              value: 100,
              itemStyle
            }, {
              value: 100,
              itemStyle
            }, {
              value: 100,
              itemStyle
            }, {
              value: 100,
              itemStyle
            }, {
              value: 22,
              itemStyle
            }, {
              value: 100,
              itemStyle
            }, {
              value: 44,
              itemStyle
            }]
          }
        }
        // 渲染数据
        o.setOption(option)
        // 隐藏进度条
        o.hideLoading()
      }, 100);

    })()

      // 饼 状图
      ; (function () {
        const dom = document.getElementById('l3-e')
        // 创建 echarts 对象
        const o = echarts.init(dom)
        // 放到全局数组中
        allEcharts.push(o)
        // 构造数据
        const option = {
          xAxis: {},
          yAxis: {},
          series: {
            type: 'pie',
            data: [100, 200, 300, 400]
          }
        }
        // 渲染数据
        o.setOption(option)
      })()

      // 飞机地图
      ; (function () {
        const dom = document.getElementById('m1-e')
        // 创建 echarts 对象
        const o = echarts.init(dom)
        // 保存到全局数组中
        allEcharts.push(o)

        var geoCoordMap = {
          '上海': [121.4648, 31.2891],
          '东莞': [113.8953, 22.901],
          '东营': [118.7073, 37.5513],
          '中山': [113.4229, 22.478],
          '临汾': [111.4783, 36.1615],
          '临沂': [118.3118, 35.2936],
          '丹东': [124.541, 40.4242],
          '丽水': [119.5642, 28.1854],
          '乌鲁木齐': [87.9236, 43.5883],
          '佛山': [112.8955, 23.1097],
          '保定': [115.0488, 39.0948],
          '兰州': [103.5901, 36.3043],
          '包头': [110.3467, 41.4899],
          '北京': [116.4551, 40.2539],
          '北海': [109.314, 21.6211],
          '南京': [118.8062, 31.9208],
          '南宁': [108.479, 23.1152],
          '南昌': [116.0046, 28.6633],
          '南通': [121.1023, 32.1625],
          '厦门': [118.1689, 24.6478],
          '台州': [121.1353, 28.6688],
          '合肥': [117.29, 32.0581],
          '呼和浩特': [111.4124, 40.4901],
          '咸阳': [108.4131, 34.8706],
          '哈尔滨': [127.9688, 45.368],
          '唐山': [118.4766, 39.6826],
          '嘉兴': [120.9155, 30.6354],
          '大同': [113.7854, 39.8035],
          '大连': [122.2229, 39.4409],
          '天津': [117.4219, 39.4189],
          '太原': [112.3352, 37.9413],
          '威海': [121.9482, 37.1393],
          '宁波': [121.5967, 29.6466],
          '宝鸡': [107.1826, 34.3433],
          '宿迁': [118.5535, 33.7775],
          '常州': [119.4543, 31.5582],
          '广州': [113.5107, 23.2196],
          '廊坊': [116.521, 39.0509],
          '延安': [109.1052, 36.4252],
          '张家口': [115.1477, 40.8527],
          '徐州': [117.5208, 34.3268],
          '德州': [116.6858, 37.2107],
          '惠州': [114.6204, 23.1647],
          '成都': [103.9526, 30.7617],
          '扬州': [119.4653, 32.8162],
          '承德': [117.5757, 41.4075],
          '拉萨': [91.1865, 30.1465],
          '无锡': [120.3442, 31.5527],
          '日照': [119.2786, 35.5023],
          '昆明': [102.9199, 25.4663],
          '杭州': [119.5313, 29.8773],
          '枣庄': [117.323, 34.8926],
          '柳州': [109.3799, 24.9774],
          '株洲': [113.5327, 27.0319],
          '武汉': [114.3896, 30.6628],
          '汕头': [117.1692, 23.3405],
          '江门': [112.6318, 22.1484],
          '沈阳': [123.1238, 42.1216],
          '沧州': [116.8286, 38.2104],
          '河源': [114.917, 23.9722],
          '泉州': [118.3228, 25.1147],
          '泰安': [117.0264, 36.0516],
          '泰州': [120.0586, 32.5525],
          '济南': [117.1582, 36.8701],
          '济宁': [116.8286, 35.3375],
          '海口': [110.3893, 19.8516],
          '淄博': [118.0371, 36.6064],
          '淮安': [118.927, 33.4039],
          '深圳': [114.5435, 22.5439],
          '清远': [112.9175, 24.3292],
          '温州': [120.498, 27.8119],
          '渭南': [109.7864, 35.0299],
          '湖州': [119.8608, 30.7782],
          '湘潭': [112.5439, 27.7075],
          '滨州': [117.8174, 37.4963],
          '潍坊': [119.0918, 36.524],
          '烟台': [120.7397, 37.5128],
          '玉溪': [101.9312, 23.8898],
          '珠海': [113.7305, 22.1155],
          '盐城': [120.2234, 33.5577],
          '盘锦': [121.9482, 41.0449],
          '石家庄': [114.4995, 38.1006],
          '福州': [119.4543, 25.9222],
          '秦皇岛': [119.2126, 40.0232],
          '绍兴': [120.564, 29.7565],
          '聊城': [115.9167, 36.4032],
          '肇庆': [112.1265, 23.5822],
          '舟山': [122.2559, 30.2234],
          '苏州': [120.6519, 31.3989],
          '莱芜': [117.6526, 36.2714],
          '菏泽': [115.6201, 35.2057],
          '营口': [122.4316, 40.4297],
          '葫芦岛': [120.1575, 40.578],
          '衡水': [115.8838, 37.7161],
          '衢州': [118.6853, 28.8666],
          '西宁': [101.4038, 36.8207],
          '西安': [109.1162, 34.2004],
          '贵阳': [106.6992, 26.7682],
          '连云港': [119.1248, 34.552],
          '邢台': [114.8071, 37.2821],
          '邯郸': [114.4775, 36.535],
          '郑州': [113.4668, 34.6234],
          '鄂尔多斯': [108.9734, 39.2487],
          '重庆': [107.7539, 30.1904],
          '金华': [120.0037, 29.1028],
          '铜川': [109.0393, 35.1947],
          '银川': [106.3586, 38.1775],
          '镇江': [119.4763, 31.9702],
          '长春': [125.8154, 44.2584],
          '长沙': [113.0823, 28.2568],
          '长治': [112.8625, 36.4746],
          '阳泉': [113.4778, 38.0951],
          '青岛': [120.4651, 36.3373],
          '韶关': [113.7964, 24.7028]
        };

        var BJData = [
          [{ name: '北京' }, { name: '上海', value: 95 }],
          [{ name: '北京' }, { name: '广州', value: 90 }],
          [{ name: '北京' }, { name: '大连', value: 80 }],
          [{ name: '北京' }, { name: '南宁', value: 70 }],
          [{ name: '北京' }, { name: '南昌', value: 60 }],
          [{ name: '北京' }, { name: '拉萨', value: 50 }],
          [{ name: '北京' }, { name: '长春', value: 40 }],
          [{ name: '北京' }, { name: '包头', value: 30 }],
          [{ name: '北京' }, { name: '重庆', value: 20 }],
          [{ name: '北京' }, { name: '常州', value: 10 }]
        ];

        var SHData = [
          [{ name: '上海' }, { name: '包头', value: 95 }],
          [{ name: '上海' }, { name: '昆明', value: 90 }],
          [{ name: '上海' }, { name: '广州', value: 80 }],
          [{ name: '上海' }, { name: '郑州', value: 70 }],
          [{ name: '上海' }, { name: '长春', value: 60 }],
          [{ name: '上海' }, { name: '重庆', value: 50 }],
          [{ name: '上海' }, { name: '长沙', value: 40 }],
          [{ name: '上海' }, { name: '北京', value: 30 }],
          [{ name: '上海' }, { name: '丹东', value: 20 }],
          [{ name: '上海' }, { name: '大连', value: 10 }]
        ];

        var GZData = [
          [{ name: '广州' }, { name: '福州', value: 95 }],
          [{ name: '广州' }, { name: '太原', value: 90 }],
          [{ name: '广州' }, { name: '长春', value: 80 }],
          [{ name: '广州' }, { name: '重庆', value: 70 }],
          [{ name: '广州' }, { name: '西安', value: 60 }],
          [{ name: '广州' }, { name: '成都', value: 50 }],
          [{ name: '广州' }, { name: '常州', value: 40 }],
          [{ name: '广州' }, { name: '北京', value: 30 }],
          [{ name: '广州' }, { name: '北海', value: 20 }],
          [{ name: '广州' }, { name: '海口', value: 10 }],
          [{ name: '广州' }, { name: '宿迁', value: 10 }]
        ];

        var SQData = [
          [{ name: '宿迁' }, { name: '拉萨', value: 95 }]
        ];

        var planePath = 'path://M1705.06,1318.313v-89.254l-319.9-221.799l0.073-208.063c0.521-84.662-26.629-121.796-63.961-121.491c-37.332-0.305-64.482,36.829-63.961,121.491l0.073,208.063l-319.9,221.799v89.254l330.343-157.288l12.238,241.308l-134.449,92.931l0.531,42.034l175.125-42.917l175.125,42.917l0.531-42.034l-134.449-92.931l12.238-241.308L1705.06,1318.313z';

        var convertData = function (data) {
          console.log(data);
          var res = [];
          for (var i = 0; i < data.length; i++) {
            var dataItem = data[i];
            var fromCoord = geoCoordMap[dataItem[0].name];
            var toCoord = geoCoordMap[dataItem[1].name];
            if (fromCoord && toCoord) {
              res.push({
                fromName: dataItem[0].name,
                toName: dataItem[1].name,
                coords: [fromCoord, toCoord],
                value: dataItem[1].value
              });
            }
          }
          return res;
        };

        var color = ['#a6c84c', '#ffa022', '#46bee9'];
        var series = [];
        [['北京', BJData], ['上海', SHData], ['广州', GZData], ['宿迁', SQData]].forEach(function (item, i) {
          //console.log(item,i);
          series.push({
            name: item[0] + ' Top10',
            type: 'lines',
            zlevel: 1,
            effect: {
              show: true,
              period: 6,
              trailLength: 0.7,
              color: '#fff',
              symbolSize: 3
            },
            lineStyle: {
              normal: {
                color: color[i],
                width: 0,
                curveness: 0.2
              }
            },
            data: convertData(item[1])
          },
            {
              name: item[0] + ' Top10',
              type: 'lines',
              zlevel: 2,
              symbol: ['none', 'arrow'],
              symbolSize: 10,
              effect: {
                show: true,
                period: 6,
                trailLength: 0,
                symbol: planePath,
                symbolSize: 15
              },
              lineStyle: {
                normal: {
                  color: color[i],
                  width: 1,
                  opacity: 0.6,
                  curveness: 0.2
                }
              },
              data: convertData(item[1])
            },
            {
              name: item[0] + ' Top10',
              type: 'effectScatter',
              coordinateSystem: 'geo',
              zlevel: 2,
              rippleEffect: {
                brushType: 'stroke'
              },
              label: {
                normal: {
                  show: true,
                  position: 'right',
                  formatter: '{b}'
                }
              },
              symbolSize: function (val) {
                return val[2] / 8;
              },
              itemStyle: {
                normal: {
                  color: color[i]
                }
              },
              data: item[1].map(function (dataItem) {
                return {
                  name: dataItem[1].name,
                  value: geoCoordMap[dataItem[1].name].concat([dataItem[1].value])
                };
              })
            });
        });
        console.log(series)

        option = {
          tooltip: {
            trigger: 'item',
            formatter: function (params, ticket, callback) {
              console.log(params);
              if (params.seriesType == "effectScatter") {
                return "线路：" + params.data.name + "" + params.data.value[2];
              } else if (params.seriesType == "lines") {
                return params.data.fromName + ">" + params.data.toName + "<br />" + params.data.value;
              } else {
                return params.name;
              }
            }
          },
          geo: {
            map: 'china',
            label: {
              emphasis: {
                show: true,
                color: '#fff'
              }
            },
            roam: true,
            itemStyle: {
              normal: {
                areaColor: '#132855',
                borderColor: '#134995'
              },
              emphasis: {
                areaColor: '#2a333d'
              }
            }
          },
          series: series
        };

        // 渲染数据
        o.setOption(option)

      })()

      // 拆线图
      ; (function () {
        const dom = document.getElementById('r2-e')
        // 创建 echarts 对象
        const o = echarts.init(dom)
        // 保存到全局数组中
        allEcharts.push(o)

        // 是否停止
        let stop = false

        dom.addEventListener('mouseover', () => {
          stop = true
        })

        dom.addEventListener('mouseout', () => {
          stop = false
        })

        // 模块 AJAX 获取数据
        o.showLoading()
        setTimeout(() => {
          // 四份数据
          const data = [
            [
              {
                name: '邮件营销',
                type: 'line',
                stack: '总量',
                data: [120, 132, 101, 134, 90, 230, 10]
              },
              {
                name: '联盟广告',
                type: 'line',
                stack: '总量',
                data: [220, 182, 191, 234, 290, 330, 50]
              }
            ],
            [
              {
                name: '邮件营销',
                type: 'line',
                stack: '总量',
                data: [55, 66, 43, 32, 65, 230, 10]
              },
              {
                name: '联盟广告',
                type: 'line',
                stack: '总量',
                data: [220, 23, 191, 76, 290, 330, 65]
              }
            ],
            [
              {
                name: '邮件营销',
                type: 'line',
                stack: '总量',
                data: [32, 132, 101, 444, 77, 230, 10]
              },
              {
                name: '联盟广告',
                type: 'line',
                stack: '总量',
                data: [220, 182, 233, 234, 656, 330, 50]
              }
            ],
            [
              {
                name: '邮件营销',
                type: 'line',
                stack: '总量',
                data: [324, 132, 101, 134, 44, 230, 52]
              },
              {
                name: '联盟广告',
                type: 'line',
                stack: '总量',
                data: [66, 182, 191, 235, 290, 330, 50]
              }
            ],
          ]
          // 当前下标
          let index = 0

          let option
          // 每一秒改变数据并重新渲染
          const si = setInterval(() => {
            // 如果是停止状态就直接退出不更新
            if (stop) return
            // 构造数据
            option = {
              title: {
                text: '折线图堆叠'
              },
              tooltip: {
                trigger: 'axis'
              },
              legend: {
                data: ['邮件营销', '联盟广告', '视频广告', '直接访问', '搜索引擎']
              },
              grid: {
                left: '3%',
                right: '4%',
                bottom: '3%',
                containLabel: true
              },
              toolbox: {
                feature: {
                  saveAsImage: {}
                }
              },
              xAxis: {
                type: 'category',
                boundaryGap: false,
                data: ['周一', '周二', '周三', '周四', '周五', '周六', '周日']
              },
              yAxis: {
                type: 'value'
              },
              series: data[index]
            };

            // 渲染数据
            o.setOption(option)

            // 下标 + 1
            index++
            // 如果超出了就使用第1个
            if (index >= 4) {
              index = 0
            }
          }, 1000)

          // 隐藏进度条
          o.hideLoading()
        }, 1000)

      })()
  },
})